Robert P. Sheridan

1979–2025 年に発表

108
論文数
29,901
被引用数
66
h 指数
102
i10 指数

被引用数

Robert P. Sheridan の年別被引用数1970 年: 被引用 1 件1972 年: 被引用 2 件1977 年: 被引用 1 件1979 年: 被引用 4 件1981 年: 被引用 2 件1983 年: 被引用 3 件1984 年: 被引用 2 件1985 年: 被引用 4 件1986 年: 被引用 9 件1987 年: 被引用 14 件1988 年: 被引用 13 件1989 年: 被引用 17 件1990 年: 被引用 25 件1991 年: 被引用 26 件1992 年: 被引用 39 件1993 年: 被引用 29 件1994 年: 被引用 40 件1995 年: 被引用 31 件1996 年: 被引用 88 件1997 年: 被引用 49 件1998 年: 被引用 83 件1999 年: 被引用 60 件2000 年: 被引用 75 件2001 年: 被引用 57 件2002 年: 被引用 101 件2003 年: 被引用 77 件2004 年: 被引用 70 件2005 年: 被引用 139 件2006 年: 被引用 215 件2007 年: 被引用 248 件2008 年: 被引用 421 件2009 年: 被引用 477 件2010 年: 被引用 485 件2011 年: 被引用 450 件2012 年: 被引用 438 件2013 年: 被引用 469 件2014 年: 被引用 437 件2015 年: 被引用 376 件2016 年: 被引用 353 件2017 年: 被引用 398 件2018 年: 被引用 560 件2019 年: 被引用 1,135 件2020 年: 被引用 1,226 件2021 年: 被引用 1,276 件2022 年: 被引用 1,096 件2023 年: 被引用 843 件2024 年: 被引用 978 件2025 年: 被引用 555 件2026 年: 被引用 68 件2027 年: 被引用 1 件1971 年は被引用が無いため表示していません1973〜1976 年は被引用が無いため表示していません1978 年は被引用が無いため表示していません1980 年は被引用が無いため表示していません1982 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,614 件、この内訳の 28%中国: 引用元論文 2,131 件、この内訳の 12.9%イギリス: 引用元論文 1,144 件、この内訳の 6.9%ドイツ: 引用元論文 1,041 件、この内訳の 6.3%フランス: 引用元論文 496 件、この内訳の 3%イタリア: 引用元論文 459 件、この内訳の 2.8%インド: 引用元論文 452 件、この内訳の 2.7%スイス: 引用元論文 431 件、この内訳の 2.6%カナダ: 引用元論文 423 件、この内訳の 2.6%日本: 引用元論文 403 件、この内訳の 2.5%スペイン: 引用元論文 326 件、この内訳の 2%オランダ: 引用元論文 306 件、この内訳の 1.9%
0%28%その他 25.8%

分野

  • Biochemistry, Genetics and Molecular Biology40.6%
  • Computer Science30.2%
  • Medicine11.6%
  • Agricultural and Biological Sciences4.1%
  • Materials Science2.8%
  • Engineering2.2%
  • その他8.5%

トピック

  • Computational Drug Discovery Methods10.7%
  • MicroRNA in disease regulation5.9%
  • Protein Structure and Dynamics3.8%
  • Machine Learning in Materials Science3.4%
  • Cancer-related molecular mechanisms research2.9%
  • Circular RNAs in diseases2.5%
  • その他70.8%

共著者

全論文

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  1. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling

    著者: , , , , , - Journal of Chemical Information and Computer Sciences, J. Chem. Inf. Comput. Sci. 2003 被引用: 3,580

  2. QSAR without borders

    著者: , , , , , , , , , , , , , , , , , , - Chemical Society Reviews 2020 被引用: 852

  3. Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

    著者: , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2015 被引用: 1,186

  4. Genomic and Functional Approaches to Understanding Cancer Aneuploidy

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang ほか 639 名 - Cancer Cell 2018 被引用: 1,187

  5. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer ほか 640 名 - Cell Systems 2018 被引用: 942

  6. Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships

    著者: , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2016 被引用: 534

  7. A novel class of small RNAs bind to MILI protein in mouse testes

    著者: , , , , , , , , , , , , , , , , - Nature 2006 被引用: 1,545

  8. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yunhu Wan, Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael P. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang ほか 647 名 - Cell Reports 2018 被引用: 652

  9. The EVcouplings Python framework for coevolutionary sequence analysis

    著者: , , , , , , , , , , , , , , , - Bioinformatics, Bioinform. 2018 被引用: 326

  10. Protein 3D Structure Computed from Evolutionary Sequence Variation

    著者: , , , , , , - PLoS ONE 2011 被引用: 1,238

  11. A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Veit Hornung, Grace Teng, Gunther Hartmann, Miklós Palkovits, Roberto Di Lauro, Peter Wernet, Giuseppe Macino, Charles E. Rogler, James W. Nagle, Jingyue Ju, F. Nina Papavasiliou, Thomas Benzing, Peter Lichter, Wayne Tam, Michael Brownstein, Andreas Bosio, Arndt Borkhardt, James J. Russo, Chris Sander, Mihaela Zavolan, Thomas Tuschl - Cell 2007 被引用: 3,687

  12. Time-Split Cross-Validation as a Method for Estimating the Goodness of Prospective Prediction

    著者: - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2013 被引用: 345

  13. Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michaël Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin Groß, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang, Pavana Anur, Myron Peto, Paul T. Spellman, Christopher C. Benz ほか 634 名 - Cell Reports 2018 被引用: 475

  14. Deep Dive into Machine Learning Models for Protein Engineering

    著者: , , , , , , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2020 被引用: 221

  15. OncoTree: A Cancer Classification System for Precision Oncology

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sarah P. Suehnholz, Moriah H. Nissan, Gopa Iyer, Rajmohan Murali, Nancy Bouvier, Robert A. Soslow, David M. Hyman, Anas Younes, Andrew M. Intlekofer, James J. Harding, Richard D. Carvajal, Paul Sabbatini, Ghassan K. Abou‐Alfa, Luc G.T. Morris, Yelena Y. Janjigian, Meighan M. Gallagher, Tara A. Soumerai, Ingo K. Mellinghoff, A. Ari Hakimi, Matthew G. Fury, Jason T. Huse, Aditya Bagrodia, Meera Hameed, Stacy B. Thomas, Stuart M. Gardos, Ethan Cerami, Tali Mazor, Priti Kumari, Pichai Raman, Priyanka Shivdasani, Suzanne P. MacFarland, Scott Newman, Angela J. Waanders, Jianjiong Gao, David B. Solit, Nikolaus Schultz - JCO Clinical Cancer Informatics 2021 被引用: 150

  16. Similarity to Molecules in the Training Set Is a Good Discriminator for Prediction Accuracy in QSAR

    著者: , , , - Journal of Chemical Information and Computer Sciences, J. Chem. Inf. Model. 2004 被引用: 301

  17. Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships

    著者: , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2017 被引用: 243

  18. A Role for Neuronal piRNAs in the Epigenetic Control of Memory-Related Synaptic Plasticity

    著者: , , , , , , - Cell 2012 被引用: 576

  19. Is Multitask Deep Learning Practical for Pharma?

    著者: , , , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2017 被引用: 279

  20. Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models?

    著者: , , , , , , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2020 被引用: 64

  21. Three-Dimensional Structures of Membrane Proteins from Genomic Sequencing

    著者: , , , , , - Cell 2012 被引用: 549

  22. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ye Wu, Juok Cho, Timothy Defreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael I. Miller, Sheila M. Reynolds, Ilya Shmulevich, Vésteinn Thórsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B. Mills, Kwok-Shing Ng, Arvind Rao, Michael T. Ryan, Jing Wang, John N. Weinstein, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K. Chatila, Ino de Bruijn, Galen F. Gao, Benjamin E. Gross, Zachary Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G. Nissan, Angelica Ochoa, Sarah Phillips, Ed Reznik, Francisco Sánchez-Vega, Chris Sander, Nikolaus Schultz, Robert P. Sheridan, S. Onur Sumer, Yichao Sun, Barry S. Taylor, Jioajiao Wang, Hongxin Zhang ほか 638 名 - Cell Reports 2018 被引用: 187

  23. Comparison of Random Forest and Pipeline Pilot Naïve Bayes in Prospective QSAR Predictions

    著者: , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2012 被引用: 104

  24. Comparison of Topological, Shape, and Docking Methods in Virtual Screening

    著者: , , , , , , , , - ChemInform, J. Chem. Inf. Model. 2007 被引用: 418